Lei Jiang
28 papers · 2019–2026 · 12 conferences · across top CS/AI conferences
Achievements
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🏃 Academic Marathon (6) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (10) 🐝 Cross-Pollinator (7)
🌍
Conference Polyglot
(10)
🏃
Academic Marathon
(6)
🌈
Renaissance Researcher
(8)
🏆
Grand Slam
🤝
Dynamic Duo
(11)
🧬
Topic Evolution
🏆
Keyword Champion
💎
Century Club
(23)
⚡
Prolific Year
(8)
🔥
Unstoppable
(7)
🗃️
Keyword Collector
(112)
Conferences
EMNLP (5)
NAACL (4)
NIPS (4)
AAAI (3)
ICLR (3)
ACL (2)
IJCAI (2)
COLING (1)
CONLL (1)
CVPR (1)
ECCV (1)
ICML (1)
Top co-authors
Research topics
Keywords
homomorphic encryption
(5)
large language model
(4)
supervised fine-tuning
(3)
transfer learning
(3)
attention mechanism
(2)
adversarial learning
(2)
garbled circuit
(2)
inference latency
(2)
trojan attack
(2)
secure inference
(2)
text classification
(2)
chain-of-thought reasoning
(2)
encrypted inference
(2)
natural language processing
(2)
sentiment analysis
(1)
data poisoning
(1)
zero-shot learning
(1)
contrastive learning
(1)
neural network security
(1)
self-supervised learning
(1)
Papers
CO2-Meter: A Comprehensive Carbon Footprint Estimator for LLMs on Edge Devices
AAAI 2026
CRAF: A Clinical Reasoning-Adaptive Framework via Reinforcement Learning for Similar Case Retrieval
AAAI 2026
Structural Entropy Guided Incremental Learning for Open-World Multimodal Social Event Detection
AAAI 2026
Why Supervised Fine-Tuning Fails to Learn: A Systematic Study of Incomplete Learning in Large Language Models
ACL 2026
Parameter Importance is Not Static: Evolving Parameter Isolation for Supervised Fine-Tuning
ACL 2026
SenDetEX: Sentence-Level AI-Generated Text Detection for Human-AI Hybrid Content via Style and Context Fusion
EMNLP 2025
DCP: Dual-Cue Pruning for Efficient Large Vision-Language Models
EMNLP 2025
T-T: Table Transformer for Tagging-based Aspect Sentiment Triplet Extraction
IJCAI 2025
Diagnosing Moral Reasoning Acquisition in Language Models: Pragmatics and Generalization
EMNLP 2025
CipherPrune: Efficient and Scalable Private Transformer Inference
ICLR 2025
S2-MAD: Breaking the Token Barrier to Enhance Multi-Agent Debate Efficiency
NAACL 2025
Threshold Filtering Packing for Supervised Fine-Tuning: Training Related Samples within Packs
NAACL 2025
Emotion Transfer with Enhanced Prototype for Unseen Emotion Recognition in Conversation
EMNLP 2025
LLMCarbon: Modeling the End-to-End Carbon Footprint of Large Language Models
ICLR 2024
SSL-Cleanse: Trojan Detection and Mitigation in Self-Supervised Learning
ECCV 2024
TrojFSP: Trojan Insertion in Few-shot Prompt Tuning
NAACL 2024
TrojViT: Trojan Insertion in Vision Transformers
CVPR 2023
Aspect Is Not You Need: No-aspect Differential Sentiment Framework for Aspect-based Sentiment Analysis
NAACL 2022
Dynamic Nonlinear Mixup with Distance-based Sample Selection
COLING 2022
HEMET: A Homomorphic-Encryption-Friendly Privacy-Preserving Mobile Neural Network Architecture
ICML 2021
SAFENet: A Secure, Accurate and Fast Neural Network Inference
ICLR 2021
CRYPTOGRU: Low Latency Privacy-Preserving Text Analysis With GRU
EMNLP 2021
Falcon: Fast Spectral Inference on Encrypted Data
NIPS 2020
Glyph: Fast and Accurately Training Deep Neural Networks on Encrypted Data
NIPS 2020
AutoPrivacy: Automated Layer-wise Parameter Selection for Secure Neural Network Inference
NIPS 2020
Improving Natural Language Understanding by Reverse Mapping Bytepair Encoding
CONLL 2019
Feature Evolution Based Multi-Task Learning for Collaborative Filtering with Social Trust
IJCAI 2019
SHE: A Fast and Accurate Deep Neural Network for Encrypted Data
NIPS 2019